Selection strategies. Different selection strategies are compared in Table REF . Randomly sampling 50% data for pre-training does not help with the downnstream performance because it cannot reduce the noise in the original data. Although Cluster [1]} is a state-of-the-art data selection method proposed for close-set tasks, it is not suitable for the open-set person ReID problem. Our conditional pre-training based on CFS performs the best on all benchmarks, even outperforming the full-data pre-training version, which shows its effectiveness. Some image examples selected by our method are presented in Appendix.
